Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.
|Original language||English (US)|
|Title of host publication||2020 54th Asilomar Conference on Signals, Systems, and Computers|
|Number of pages||5|
|State||Published - 2020|
Bibliographical noteKAUST Repository Item: Exported on 2021-09-07
Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation under award number 1710746.